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Workshop
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Fri 12:40
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Optimum Self-Random Generation Rate and Its Application to the Rate-Distortion-Perception-Problem
Ryo Nomura
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Workshop
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Sat 14:30
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Quantifying Generative Model Uncertainty in Posterior Sampling Methods for Computational Imaging
Canberk Ekmekci · Mujdat Cetin
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Poster
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Tue 15:15
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Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
Xin Yan · Hui Fang · Qiang He
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Poster
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Thu 15:00
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A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel · Rizwan Ahmad · Philip Schniter
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Poster
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Wed 8:45
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On the Constrained Time-Series Generation Problem
Andrea Coletta · Sriram Gopalakrishnan · Daniel Borrajo · Svitlana Vyetrenko
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Poster
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Tue 15:15
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Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung · Jeongsol Kim · Jong Chul Ye
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Workshop
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How Good Are Deep Generative Models for Solving Inverse Problems?
Shichong Peng · Alireza Moazeni · Ke Li
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Workshop
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Conditional score-based generative models for solving physics-based inverse problems
Agnimitra Dasgupta · Javier Murgoitio Esandi · Deep Ray · Assad Oberai
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Workshop
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Mask-Agnostic Posterior Sampling MRI via Conditional GANs with Guided Reconstruction
Matthew Bendel · Rizwan Ahmad · Philip Schniter
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Workshop
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Sat 14:45
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Model-adapted Fourier sampling for generative compressed sensing
Aaron Berk · Simone Brugiapaglia · Yaniv Plan · Matthew Scott · Xia Sheng · Ozgur Yilmaz
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Poster
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Tue 8:45
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End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Alexander Shmakov · Kevin Greif · Michael Fenton · Aishik Ghosh · Pierre Baldi · Daniel Whiteson
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Workshop
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Codeplay: Autotelic Learning through Collaborative Self-Play in Programming Environments
Laetitia Teodorescu · Cédric Colas · Matthew Bowers · Thomas Carta · Pierre-Yves Oudeyer
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